So sánh phương pháp

	Mô hình hóa dựa trên tác nhân (ABM)	Số sinh sản cơ bản (R0) và số sinh sản hiệu dụng (Rt)
Lĩnh vực	Mô phỏng	Dịch tễ học
Họ	Process / pipeline	Regression model
Năm ra đời	1970s–1990s (formalized as a field)	1990
Người khởi xướng	Thomas Schelling and Robert Axelrod (foundational contributions, 1970s–1990s)	Diekmann, Heesterbeek & Metz
Loại	Computational simulation method	Threshold parameter for epidemic spread
Công trình gốc	Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press.	Diekmann, O., Heesterbeek, J. A. P., & Metz, J. A. J. (1990). On the definition and the computation of the basic reproduction ratio R0. Journal of Mathematical Biology, 28(4), 365–382.
Tên gọi khác	ABM, Ajan Tabanlı Modelleme (ABM), multi-agent simulation, individual-based modeling	Basic Reproduction Ratio, Effective Reproduction Number, Net Reproduction Number, Temel Üreme Sayısı
Liên quan	5	2
Tóm tắt	Agent-based modeling (ABM) is a computational simulation method, formalized through the work of Thomas Schelling and Robert Axelrod in the 1970s–1990s, that simulates the behavior of complex systems by specifying and running autonomous agents — individuals, firms, cells, or any bounded entity — whose local interactions with each other and with their environment collectively produce global, system-level patterns that could not be predicted from any single agent's rules alone.	The basic reproduction number R0 is the expected number of secondary infections produced by a single infectious individual introduced into a fully susceptible population. Formally defined and computationally grounded by Diekmann, Heesterbeek, and Metz in 1990 using the next-generation matrix approach, R0 serves as the central threshold parameter in mathematical epidemiology: if R0 > 1, an epidemic can establish itself; if R0 < 1, the outbreak dies out. The effective reproduction number Rt extends this to partially immune or partially susceptible populations over time.